Browsing by Author Well, Arnold D.
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In writing this book, we had two overriding goals. The first was to provide a textbook from
which graduate and advanced undergraduate students could really learn about data analysis.
Over the years we have experimented with various organizations of the content and have
concluded that bottom-up is better than top-down learning. In view of this, most chapters
begin with an informal intuitive discussion of key concepts to be covered, followed by the
introduction of a real data set along with some informal discussion about how we propose
to analyze the data. At that point, having given the student a foundation on which to build,
we provide a more formal justification of the computa... |
